Drought variations in Almaty (Kazakhstan) since AD 1785 based on spruce tree rings

Chen, Feng; Mambetov, Bulkair; Майсупова, Багила; Kelgenbayev, Nurzhan

doi:10.1007/s00477-016-1290-y

Cited by 14 publications

(11 citation statements)

References 39 publications

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“…In general the highest correlations were found in the period from previous July to previous November. This shows that the previous year affects the content of EW, and wet conditions are beneficial for trees, because this reduces evapotranspiration and helps to save moisture for the next vegetation period which is also in agreement of results reported by Chen et al (2017). The spatial correlations demonstrated a significant influence of orography and difference in precipitation regime.…”

Section: Discussionsupporting

confidence: 90%

“…She found that the influence of humidification and thermal conditions of the previous vegetation year affects only the annual variability through the formation of vegetative buds and needles (Borscheva, 1981a; 1981b; Borscheva, 1981c;Borscheva, 1981d;Borscheva, 1983;Borscheva, 1986). Other researchers have also noted the importance of the previous year precipitation, which is explained by enhanced soil moisture availability (Gan, 1970;Chen et al, 2017;Zhang et al, 2017;Panyushkina et al, 2018). We found only 5 published dendroclimatic studies conducted in the Trans-Ili Alatau since the 1990s (Table 1), and in general all published results are in agreement with Borscheva's.…”

Section: Introductionsupporting

confidence: 90%

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Searching for the best correlation between climate and tree rings in the Trans-Ili Alatau, Kazakhstan

Zubairov¹,

Heußner²,

Schröder³

2018

Dendrobiology

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The result of correlation analysis between tree-ring growth and climate is the key indicator in dendroclimatic investigations. Combinations of different climate datasets with different tree-ring parameters of Schrenk spruce (Picea schrenkiana Fisch. et Mey.), give different correlation results. Samples for this study were collected in spruce forests of northern Tian Shan in the southeastern part of Kazakhstan. Several combinations of monthly, daily, gridded and station climate data with earlywood (EW), latewood (LW), total ring width (TRW) of young, old and mixed (old and young) trees were checked. EW showed the best correlations with precipitation, LW with temperature and TRW with Standardized Precipitation-Evapotranspiration Index (SPEI). Correlation analysis indicates that daily climate data in combination with EW and LW provide best results. Strongest correlation with precipitation was found for EW of old trees, for the period July 6 th-November 3 rd (previous year), r = 0.64 (p<0.05). LW of agemixed trees showed correlation with temperature of current year. Strongest correlations: with average temperature, for the period June 11 th-August 4 th , r =-0.67; with maximum temperature, for the period June 25 th-July 17 th , r =-0.66 (p<0.05) and with minimum temperature for the period June 11 th-August 4 th , r =-0.64 (p<0.05). TRW of young trees showed the strongest correlation with the Standardized Precipitation-Evapotranspiration Index 12, for June of current year, r = 0.61 (p<0.05). Finally a shifting of strongest correlation between EW of mixed trees and precipitation was found. The strongest correlations with gridded data were found in previous July and with station data in previous October. This study provides new information for understanding the relationships between tree-ring growth and climate in the Trans-Ili Alatau.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionsupporting

confidence: 90%

Searching for the best correlation between climate and tree rings in the Trans-Ili Alatau, Kazakhstan

Zubairov¹,

Heußner²,

Schröder³

2018

Dendrobiology

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“…(1) August-January standardized precipitation evapotranspiration index for the southeastern Kazakhstan (SKZ, 1785(SKZ, -2014Chen et al, 2017b); (2) July-August precipitation for Nilka in the Ili region (PNL, 1671(PNL, -2006Zhang et al, 2010); (3) July-June precipitation for the Issyk Lake (PIL, 1756(PIL, -2012Zhang et al, 2015); and (4) August-April precipitation for the Aksu region (PAK, 1396(PAK, -2005Zhang et al, 2009). The locations of these reconstructions are indicated in Fig.…”

Section: Discussionmentioning

confidence: 99%

<i>Picea schrenkiana</i> tree-ring chronologies development and vegetation index reconstruction for the Alatau Mountains, Central Asia

Zhang

Lü

et al. 2018

Geochronometria

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In this study, a total of 176 tree cores from Schrenk spruce (Picea schrenkiana) were used to establish a tree-ring chronology and a 167-year July–October normalized differential vegetation index (NDVI) for the Alatau Mountains in Central Asia was reconstructed using this newly developed chronology. The tree-ring based NDVI reconstruction tracks the observed data well (r=0.577, p<0.01, n=25) and precisely captures the drought events recorded in historical documents that occurred over a large area in 1917 and 1938. After applying a 21-year moving average, three dense (1860–1870, 1891–1907, and 1950–1974) and three sparse (1871–1890, 1908–1949, and 1975–2006) vegetation coverage periods were found in this reconstruction. Spatial correlation proves that the reconstructed NDVI series contains climatic signals representative for a large area including southern Kazakhstan. Although a comparison between this reconstruction and four climatic reconstructions for southeastern Kazakhstan, Nilka (in the Ili region), the Issyk Lake, and the Aksu region reveals similar variations, the coherence between these reconstructions become weak with the increase in spatial distance from north to south. In addition to the local representation, it was also demonstrated that the newly developed NDVI index can indicate the large-scale circulations over Eurasia, with the higher NDVI associated with stronger westerly winds from the Atlantic to the Alatau Mountains, and the lower NDVI associated with the weaker winds.

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“…These rings reveal drought signals and wetting trends, retain common signals and capture regional dry/wet periods, hence proving that moisture-sensitive juniper trees are a reliable proxy for investigating climate variability. Central Asian paleoclimatic studies are mainly concentrated in the Tibetan Plateau region [17][18][19][20][21][22] and Tien Shan Mountains [23][24][25][26][27][28][29][30][31][32][33], and the majority of these studies are based on tree-ring width (TRW) data. The Pamir-Alay Mountain region is among those that have been investigated for past climate variations in arid central Asia to a lesser extent, not to mention tree-ring isotopes.…”

Section: Introductionmentioning

confidence: 99%

Understanding the Representativeness of Tree Rings and Their Carbon Isotopes in Characterizing the Climate Signal of Tajikistan

Fan

Shang

et al. 2021

Forests

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The juniper tree forest is a critical component of the carbon, water, and energy cycles of Tajikistan. However, to date, long-term information about tree-ring isotopes is limited in this region. Here, we developed tree-ring width (TRW) and tree-ring 13C chronologies for juniper trees (Juniperus seravschanica (Juniperus excelsa subsp.polycarpos (K. Koch) Takht.) and Juniperus turkestanica (Juniperus pseudosabina Fisch. & C. A. Mey)) and investigated their dendroclimatic signals in the northwest of the Pamir-Alay (NWPA) mountains in Tajikistan. Tree-ring ∆13C and TRW of juniper presented different sensitivities to monthly precipitation. Moreover, ∆13C in juniper showed consistently significant relationships with climatic factors in larger seasonal windows than TRW did. Dendroclimatological analysis demonstrates that precipitation has significant effects on tree growth and isotope enrichment. Late summer to early winter temperature is one limiting factor for the TRW chronologies, but previous spring, summer, and autumn temperature and precipitation from the previous July to the current May were the dominant climatic factors accounting for inter-annual variations in the ∆13C chronologies. This verified that the multi tree-ring parameters of juniper in Tajikistan are a promising tool for investigating inter-annual climate variations. Furthermore, the stable carbon isotopes of tree rings have proven to be powerful evidence of climatic signals. The moisture-sensitive tree-ring isotope provides opportunities for complex investigations of changes in atmospheric circulation patterns and timing of seasonal rainfall. Our results highlight the need for more detailed studies of tree growth responses to changing climate and tree-ring isotopes to understand source water variations (especially baseflow) of the juniper tree forest.

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Drought variations in Almaty (Kazakhstan) since AD 1785 based on spruce tree rings

Cited by 14 publications

References 39 publications

Searching for the best correlation between climate and tree rings in the Trans-Ili Alatau, Kazakhstan

Searching for the best correlation between climate and tree rings in the Trans-Ili Alatau, Kazakhstan

<i>Picea schrenkiana</i> tree-ring chronologies development and vegetation index reconstruction for the Alatau Mountains, Central Asia

Understanding the Representativeness of Tree Rings and Their Carbon Isotopes in Characterizing the Climate Signal of Tajikistan

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